eprintid: 2845
rev_number: 6
eprint_status: archive
userid: 69
dir: disk0/00/00/28/45
datestamp: 2015-11-06 11:17:03
lastmod: 2015-11-06 11:17:03
status_changed: 2015-11-06 11:17:03
type: book_section
metadata_visibility: show
creators_name: Liao, Hao
creators_name: Cimini, Giulio
creators_name: Medo, Matúš
creators_id: 
creators_id: giulio.cimini@imtlucca.it
creators_id: 
title: Measuring Quality, Reputation and Trust in Online Communities
ispublished: pub
subjects: GT
subjects: HA
divisions: EIC
full_text_status: none
keywords: Complex networks, Ranking algorithm, Reputation, Trust
abstract: In the Internet era the information overload and the challenge to detect quality content has raised the issue of how to rank both resources and users in online communities. In this paper we develop a general ranking method that can simultaneously evaluate users’ reputation and objects’ quality in an iterative procedure, and that exploits the trust relationships and social acquaintances of users as an additional source of information. We test our method on two real online communities, the EconoPhysics forum and the Last.fm music catalogue, and determine how different variants of the algorithm influence the resultant ranking. We show the benefits of considering trust relationships, and define the form of the algorithm better apt to common situations.
date: 2012
date_type: published
series: Lecture Notes in Computer Science
number: 7661
publisher: Springer
pagerange: 405-414
pages: 9
id_number: 10.1007/978-3-642-34624-8_46
refereed: TRUE
isbn: 978-3-642-34624-8
book_title: Foundations of Intelligent Systems. 20th International Symposium, ISMIS 2012, Macau, China, December 4-7, 2012. Proceedings
official_url: http://dx.doi.org/10.1007/978-3-642-34624-8_46
citation:   Liao, Hao and Cimini, Giulio and Medo, Matúš  Measuring Quality, Reputation and Trust in Online Communities.   In:  Foundations of Intelligent Systems. 20th International Symposium, ISMIS 2012, Macau, China, December 4-7, 2012. Proceedings.   Lecture Notes in Computer Science  (7661).  Springer, pp. 405-414.  ISBN 978-3-642-34624-8      (2012)